Triple
T15531640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Θεόδωρος Κολοκοτρώνης |
E370230
|
entity |
| Predicate | έχει_ανδριάντα |
P119047
|
FINISHED |
| Object | πλατεία Κολοκοτρώνη, Αθήνα |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: πλατεία Κολοκοτρώνη, Αθήνα | Statement: [Θεόδωρος Κολοκοτρώνης, έχει_ανδριάντα, πλατεία Κολοκοτρώνη, Αθήνα]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχει_ανδριάντα Context triple: [Θεόδωρος Κολοκοτρώνης, έχει_ανδριάντα, πλατεία Κολοκοτρώνη, Αθήνα]
-
A.
έχειΕραστή
Indicates that someone has or is involved with a lover or romantic partner outside a primary relationship.
-
B.
έχειΡόλο
Indicates that an entity holds or performs a specific role in relation to another entity or context.
-
C.
έχειΡωμαϊκόΙσοδύναμο
Indicates that something has a corresponding or equivalent counterpart in Roman culture or context.
-
D.
εκβάλλειΚοντάΣε
Indicates that one entity discharges, empties, or flows out in close proximity to another entity.
-
E.
εκβάλλειΣτο
Indicates that one geographical feature (typically a river or stream) flows into and empties into another body of water.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:06 a.m.